Current Predictive Resting Metabolic Rate Equations Are Not Sufficient to Determine Proper Resting Energy Expenditure in Olympic Young Adult National Team Athletes
| Autor: | Aydın Balci, Ebru Arslanoğlu Badem, Ayfer Ezgi Yılmaz, Aslı Devrim-Lanpir, Bihter Akınoğlu, Tuğba Kocahan, Adnan Hasanoğlu, Lee Hill, Thomas Rosemann, Beat Knechtle |
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| Přispěvatelé: | University of Zurich |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
11035 Institute of General Practice
0301 basic medicine Physiology 610 Medicine & health Measured RMR lcsh:Physiology predictive equations 03 medical and health sciences 2737 Physiology (medical) 0302 clinical medicine Total energy expenditure Physiology (medical) olympic athletes Medicine Resting energy expenditure Young adult resting metabolic rate Original Research indirect calorimetry 030109 nutrition & dietetics lcsh:QP1-981 biology Athletes business.industry Limits of agreement 1314 Physiology 030229 sport sciences biology.organism_classification low energy availability Basal metabolic rate Christian ministry business Demography |
| Zdroj: | Frontiers in Physiology Frontiers in Physiology, Vol 12 (2021) |
| ISSN: | 1664-042X |
| DOI: | 10.3389/fphys.2021.625370 |
| Popis: | Predictive resting metabolic rate (RMR) equations are widely used to determine athletes’ resting energy expenditure (REE). However, it remains unclear whether these predictive RMR equations accurately predict REE in the athletic populations. The purpose of the study was to compare 12 prediction equations (Harris-Benedict, Mifflin, Schofield, Cunningham, Owen, Liu’s, De Lorenzo) with measured RMR in Turkish national team athletes and sedentary controls. A total of 97 participants, 49 athletes (24 females, 25 males), and 48 sedentary (28 females, 20 males), were recruited from Turkey National Olympic Teams at the Ministry of Youth and Sports. RMR was measured using a Fitmate GS (Cosmed, Italy). The results of each 12 prediction formulas were compared with the measured RMR using paired t-test. The Bland-Altman plot was performed to determine the mean bias and limits of agreement between measured and predicted RMRs. Stratification according to sex, the measured RMR was greater in athletes compared to controls. The closest equation to the RMR measured by Fitmate GS was the Harris-Benedict equation in male athletes (mean difference -8.9 (SD 257.5) kcal/day), and Liu’s equation [mean difference -16.7 (SD 195.0) kcal/day] in female athletes. However, the intra-class coefficient (ICC) results indicated that all equations, including Harris-Benedict for male athletes (ICC = 0.524) and Liu’s for female athletes (ICC = 0.575), had a moderate reliability compared to the measured RMR. In sedentary subjects, the closest equation to the measured RMR is the Nelson equation in males, with the lowest RMSE value of 118 kcal/day [mean difference: 10.1 (SD 117.2) kJ/day], whereas, in females, all equations differ significantly from the measured RMR. While Nelson (ICC = 0.790) had good and Owen (ICC = 0.722) and Mifflin (calculated using fat-free mass) (ICC = 0.700) had moderate reliability in males, all predictive equations showed poor reliability in females. The results indicate that the predictive RMR equations failed to accurately predict RMR levels in the participants. Therefore, it may not suitable to use them in determining total energy expenditure. |
| Databáze: | OpenAIRE |
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